Implementation

The implementation will have only one application running on the ESP32-S3 Box Lite. It sounds relatively easy to develop, but each project comes with its own challenges. The challenge of this project is memory management. We will discuss memory management and optimization in detail throughout the implementation. The first step is to generate the ML model.

Generating the ML model

As we mentioned earlier, we will find a baby-crying detection model from the Edge Impulse project repository and download the C++ SDK with the model in it. The following steps show how to do that:

1. Go to https://edgeimpulse.com/projects/ and type baby-cry-detector in the search box. Select the first project from the results:

   Figure 12.3: Baby-cry-detector project on Edge Impulse

2. Clone the project by pressing the Clone this project button at the top right:

   Figure 12.4: Cloning the Edge Impulse project

3. Log in to your Edge Impulse...